tf.contrib.distributions.Laplace.pmf(value, name='pmf') Probability mass function. Args:

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.__init__(mu, diag_stdev, validate_args=False, allow_nan_stats=True, name='MultivariateNormalD

class tf.contrib.distributions.Binomial Binomial distribution. This distribution is parameterized

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.log_survival_function(value, name='log_survival_function') Log survival

tf.contrib.distributions.Gamma.log_pdf(value, name='log_pdf') Log probability density function. Args:

tf.contrib.distributions.BetaWithSoftplusAB.parameters Dictionary of parameters used by this Distribution.

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.event_shape(name='event_shape') Shape of a single sample from

tf.contrib.distributions.BernoulliWithSigmoidP.dtype The DType of Tensors handled by this Distribution

tf.contrib.distributions.Exponential.log_pmf(value, name='log_pmf') Log probability mass function. Args:

tf.contrib.distributions.DirichletMultinomial.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified